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» Maximum Likelihood Identification of a Dynamic Robot Model
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ICRA
2010
IEEE
101views Robotics» more  ICRA 2010»
15 years 4 months ago
Searching for objects: Combining multiple cues to object locations using a maximum entropy model
— In this paper, we consider the problem of how background knowledge about usual object arrangements can be utilized by a mobile robot to more efficiently find an object in an ...
Dominik Joho, Wolfram Burgard
ICIP
2000
IEEE
16 years 8 months ago
Terrain Feature Identification by Modeling Radar Image Statistics
In this paper we propose a new statistical model for SAR images. According to this model, the SAR image amplitude follows a product of Rayleigh and Bessel functions. We derive the...
Adrian G. Bors, Edwin R. Hancock, Richard C. Wilso...
182
Voted
JGS
2010
106views more  JGS 2010»
15 years 1 months ago
On vector autoregressive modeling in space and time
Despite the fact that it provides a potentially useful analytical tool, allowing for the joint modeling of dynamic interdependencies within a group of connected areas, until latel...
Valter Di Giacinto
AUTOMATICA
2008
123views more  AUTOMATICA 2008»
15 years 6 months ago
Identification with stochastic sampling time jitter
This work investigates how stochastic sampling jitter noise affects the result of system identification, and proposes a modification of known approaches to mitigate the effects of...
Frida Eng, Fredrik Gustafsson
175
Voted
ISBI
2004
IEEE
16 years 7 months ago
Simultaneous Estimation of Kinetic Parameters and the Input Function from DCE-MRI Data: Theory and Simulation
DCE-MRI is a noninvasive functional imaging technique capable of assessing tumor microvasculature clinically. Major limitations associated with conventional region-of-interest (RO...
Zhu Han, Z. Jane Wang, K. J. Ray Liu, Yue Wang